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    • 21. 发明授权
    • Synthetic discriminant function automatic target recognition system
augmented by LADAR
    • 综合判别功能自动目标识别系统由LADAR增强
    • US6042050A
    • 2000-03-28
    • US250914
    • 1999-02-16
    • S. Richard F. SimsWilliam C. Pittman
    • S. Richard F. SimsWilliam C. Pittman
    • F41G7/22G01S7/48G01S17/02G06K9/32G06K9/74G06K9/76F42B15/01F41G7/00
    • G06K9/746F41G7/2226F41G7/2246F41G7/2253F41G7/2293G01S17/023G01S7/4802G06K9/3241
    • Synthetic discriminant function automatic target recognition system augmented by LADAR combines, through the synthetic discriminant function (SDF), the active LADAR data of the potential target object with the passive infrared imagery of the target and background. In doing so, the system not only recognizes and classifies the target but also provides the range profile of the target object by analyzing the amplitude of the reflected return signal when appropriate. The live target scene imagery in passive infrared is detected, filtered and subsequently complex multiplied with pre-existing synthetic discriminant function to produce a two-dimensional cross-correlated surface. Analogous process is performed on the active LADAR range and intensity images of the live target scene with corresponding pre-existing synthetic discriminant function for the same target pose and scale as in the passive infrared correlation step. Ultimately, the target information thus acquired in passive infrared and active LADAR is fused to obtain a more accurate determination of the target location and classification than is possible using either infrared or LADAR alone.
    • 由LADAR增强的综合判别功能自动目标识别系统通过合成判别函数(SDF)将潜在目标对象的活动LADAR数据与目标和背景的被动红外图像相结合。 在这样做时,系统不仅能够识别和分类目标,而且在适当的时候通过分析反射的返回信号的幅度来提供目标对象的范围分布。 被动红外线中的实时目标场景图像被检测,滤波并随后复合乘以预先存在的合成判别函数,以产生二维交叉相关表面。 对于与被动红外相关步骤中相同的目标姿态和比例尺的相应的预先存在的合成判别函数,对活动目标场景的活动LADAR范围和强度图像执行类似处理。 最终,在被动红外线和主动LADAR中获得的目标信息被融合,以获得比单独使用红外线或LADAR可能更准确地确定目标位置和分类。